Manager, Data Engineering

Come join our passionate team! Barracuda is a leading cybersecurity company providing complete protection against complex threats. Our platform protects email, data, applications, and networks with innovative solutions, and a managed XDR service, to strengthen cyber resilience. Hundreds of thousands of IT professionals and managed service providers worldwide trust us to protect and support them with solutions that are easy to buy, deploy, and use. We know a diverse workforce adds to our collective value and strength as an organization. Barracuda Networks is proud to be an employer that complies with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity regardless of race, gender, religion, sex, sexual orientation, national origin, or disability. Envision yourself at Barracuda As a Manager, Data Engineer at Barracuda, you will be part of a dynamic team responsible for the enterprise data and data governance. You will lead efforts in sourcing, modeling, and warehousing data from various sources, including telemetry and usage data from over a dozen products, CRM systems like Salesforce, ERP systems like NetSuite, and various marketing systems and services. Your work will support data activation, BI, and AI use cases across departments such as finance, marketing, and customer success, positively impacting the top line of the company. Tech Stack SQL, Python, PySpark Databricks AWS What youll be working on Lead the development and maintenance of ETL pipelines to reliably ingest, cleanse, transform and store data. Implement data models to organize data logically and efficiently for various analytics and ML use cases. Collaborate with product manager and other stakeholders to understand and implement data requirements for data products and applications. Implement rigorous data quality checks and enforce data governance practices to ensure data integrity and reliability. Build reverse ETL pipelines to activate data in external systems. Including building and integrating with REST APIs, web hooks etc. Ensure data and platform infrastructure are secure, compliant, available, efficient, and scalable. Play a key role in defining and adopting best practices and data modeling standards. What you bring to the role Bachelors or Masters degree in Computer Science, Information Technology, or related field 5+ years of industry experience as a Data Engineer working on large data sets building data frameworks and data products. Excellent programming skills in Python. Experience with data analysis libraries such as pandas, numpy etc. is desirable. Advanced SQL knowledge. Experience with relational and NoSQL databases. Experience with Spark, Databricks, Hadoop and related technologies is a plus. Strong skills with data modeling, data warehousing, and data pipelines. Experience with public cloud, preferably AWS and services such as Redshift, S3, ECS, EC, Kinesis etc. Experience providing technical leadership and coaching to other engineers on data engineering. Excellent communication skills and the ability to work collaboratively with cross-functional teams. What you’ll get from us A team where you can voice your opinion, make an impact, and where you and your experience are valued. Internal mobility – there are opportunities for cross training and the ability to attain your next career step within Barracuda. In addition, you will receive equity, in the form of non-qualifying options.